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Update app.py
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app.py
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@@ -7,11 +7,13 @@ import re
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#import torchaudio
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# Initialize the speech recognition pipeline and transliterator
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p1 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-odia_v1")
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p2 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-hindi_v1")
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p3 = pipeline(task="automatic-speech-recognition", model="cdactvm/kannada_w2v-bert_model")
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p4 = pipeline(task="automatic-speech-recognition", model="cdactvm/telugu_w2v-bert_model")
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p5 = pipeline(task="automatic-speech-recognition", model="Sajjo/w2v-bert-2.0-bangala-gpu-CV16.0_v2")
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os.system('git clone https://github.com/irshadbhat/indic-trans.git')
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os.system('pip install ./indic-trans/.')
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@@ -47,6 +49,18 @@ def transcribe_bangala(speech):
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if text is None:
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return "Error: ASR returned None"
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return text
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def transcribe_odiya_eng(speech):
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trn = Transliterator(source='ori', target='eng', build_lookup=True)
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@@ -153,6 +167,11 @@ def sel_lng(lng, mic=None, file=None):
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return transcribe_ban_eng(audio)
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elif lng == "Bangala":
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return transcribe_bangala(audio)
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# Function to replace incorrectly spelled words
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def replace_words(sentence):
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@@ -377,7 +396,8 @@ demo=gr.Interface(
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inputs=[
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gr.Dropdown(["Hindi","Hindi-trans","Odiya","Odiya-trans","Kannada","Kannada-trans","Telugu","Telugu-trans","Bangala","Bangala-trans"],value="Hindi",label="Select Language"),
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gr.Audio(sources=["microphone","upload"], type="filepath"),
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#gr.Audio(sources="upload", type="filepath"),
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#"state"
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#import torchaudio
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# Initialize the speech recognition pipeline and transliterator
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#p1 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-odia_v1")
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p2 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-bert-2.0-hindi_v1")
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#p3 = pipeline(task="automatic-speech-recognition", model="cdactvm/kannada_w2v-bert_model")
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#p4 = pipeline(task="automatic-speech-recognition", model="cdactvm/telugu_w2v-bert_model")
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#p5 = pipeline(task="automatic-speech-recognition", model="Sajjo/w2v-bert-2.0-bangala-gpu-CV16.0_v2")
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p6 = pipeline(task="automatic-speech-recognition", model="cdactvm/hf-open-assames")
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p7 = pipeline(task="automatic-speech-recognition", model="cdactvm/w2v-assames")
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os.system('git clone https://github.com/irshadbhat/indic-trans.git')
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os.system('pip install ./indic-trans/.')
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if text is None:
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return "Error: ASR returned None"
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return text
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def transcribe_assamese_model1(speech):
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text = p6(speech)["text"]
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if text is None:
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return "Error: ASR returned None"
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return text
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def transcribe_assamese_model2(speech):
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text = p7(speech)["text"]
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if text is None:
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return "Error: ASR returned None"
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return text
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def transcribe_odiya_eng(speech):
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trn = Transliterator(source='ori', target='eng', build_lookup=True)
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return transcribe_ban_eng(audio)
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elif lng == "Bangala":
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return transcribe_bangala(audio)
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elif lng == "Assamese-Model1":
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return transcribe_assamese_model1(audio)
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elif lng == "Assamese-Model2":
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return transcribe_assamese_model2(audio)
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# Function to replace incorrectly spelled words
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def replace_words(sentence):
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inputs=[
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#gr.Dropdown(["Hindi","Hindi-trans","Odiya","Odiya-trans","Kannada","Kannada-trans","Telugu","Telugu-trans","Bangala","Bangala-trans"],value="Hindi",label="Select Language"),
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gr.Dropdown(["Hindi","Hindi-trans","Assamese-Model1","Assamese-Model2"],value="Hindi",label="Select Language"),
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gr.Audio(sources=["microphone","upload"], type="filepath"),
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#gr.Audio(sources="upload", type="filepath"),
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#"state"
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